Literature review of deep learning research areas
Deep learning (DL) is a powerful machine learning field that has achieved considerable
success in many research areas. Especially in the last decade, the-state-of-the-art studies …
success in many research areas. Especially in the last decade, the-state-of-the-art studies …
A new wrapper feature selection method for language-invariant offline signature verification
D Banerjee, B Chatterjee, P Bhowal… - Expert Systems with …, 2021 - Elsevier
Among various biometric systems, an offline signature verification system has been widely
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
Hand gesture recognition with convolution neural networks
F Zhan - 2019 IEEE 20th international conference on …, 2019 - ieeexplore.ieee.org
Hand gestures are the most common forms of communication and have great importance in
our world. They can help in building safe and comfortable user interfaces for a multitude of …
our world. They can help in building safe and comfortable user interfaces for a multitude of …
Convolutional neural network based offline signature verification application
One of the most important biometric authentication technique is signature. Nowadays, there
are two types of signatures, offline (static) and online (dynamic). Online signatures have …
are two types of signatures, offline (static) and online (dynamic). Online signatures have …
Deep learning models for classification of brain tumor with magnetic resonance imaging images dataset
LJ Muhammad, I Badi, AA Haruna… - … Intelligence in Oncology …, 2022 - Springer
Brain tumor is known among the most aggressive diseases among adults and children
around the world. It is estimated that every year, more than 11,700 people around the world …
around the world. It is estimated that every year, more than 11,700 people around the world …
Feature selection for deep neural networks in cyber security applications
A Davis, S Gill, R Wong, S Tayeb - 2020 IEEE international IOT …, 2020 - ieeexplore.ieee.org
To stay ahead of novel attacks, cyber security professionals are developing new software
and systems using machine learning techniques. Neural network architectures improve such …
and systems using machine learning techniques. Neural network architectures improve such …
A study of ensemble methods for cyber security
N Lower, F Zhan - 2020 10th Annual Computing and …, 2020 - ieeexplore.ieee.org
Ensemble methods for machine learning serve to increase the predictive power of
preexisting models by applying a meta-algorithm on top of the underlying workings of one or …
preexisting models by applying a meta-algorithm on top of the underlying workings of one or …
Convolution Neural Network based Hand Gesture Recognition System
S Meshram, R Singh, P Pal… - 2023 Third International …, 2023 - ieeexplore.ieee.org
Strong hand gesture recognition has been essential in the area of human-computer
interaction for a very long time. Due of their intricacy and breadth, these gestures are difficult …
interaction for a very long time. Due of their intricacy and breadth, these gestures are difficult …
Segregating hazardous waste using deep neural networks in real-time video
D Hua, J Gao, R Mayo, A Smedley… - 2020 10th Annual …, 2020 - ieeexplore.ieee.org
Sustaining a society requires reusing, reducing, and recycling waste. Waste disposal has
always been a problem in developing countries because of inadequate infrastructure. By …
always been a problem in developing countries because of inadequate infrastructure. By …
[PDF][PDF] Desain Absensi Mahasiswa Dengan Tanda Tangan Digital Terverifikasi Berbasis Convolutional Neural Network di Masa Pandemi Covid-19
A Abdullah, SA Prakoso, M Taruk - Jurnal Rekayasa Teknologi …, 2022 - researchgate.net
Pandemi Covid-19 telah membawa banyak perubahan dalam pelaksanaan proses
pembelajaran. Sebelum pandemi Covid-19, proses pembelajaran dilaksanakan secara …
pembelajaran. Sebelum pandemi Covid-19, proses pembelajaran dilaksanakan secara …